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Magnus Hedemark
fe3be63800
Greenfield SkillOpt: 3 epochs optimizing discoverability, decision guidance, and troubleshooting for a brand-new LangChain skill. Epoch 1 — Prominence: - Added critical AgentExecutor deprecation callout at top - Framework Routing Guide for cross-portfolio decisions Epoch 2 — Decision Guidance: - Where to Start table with AgentExecutor migration row - Pipeline Mode table (Quick/RAG/Agent/Production) Epoch 3 — Pattern Expansion: - Troubleshooting table with reference file links - FAQ section covering installation, migration, performance 13 files: SKILL.md, 7 references, 4 templates, 1 script. v1.0.0 -> v1.0.3 across 3 SkillOpt epochs. Signed-off-by: Magnus Hedemark <magnus919@pm.me>
28 lines
789 B
Python
28 lines
789 B
Python
#!/usr/bin/env python3
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"""Agent with tool-calling using create_agent (v1.0+)."""
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from langchain_openai import ChatOpenAI
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from langchain.agents import create_agent
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from langchain_core.tools import tool
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from langgraph.checkpoint.memory import MemorySaver
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@tool
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def search_web(query: str) -> str:
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"""Search the web for information."""
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return f"Simulated results for: {query}"
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model = ChatOpenAI(model="gpt-4o")
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tools = [search_web]
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agent = create_agent(
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model, tools,
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prompt="You are a research assistant. Use the search tool to answer questions."
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)
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# With persistence
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config = {"configurable": {"thread_id": "session-1"}}
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result = agent.invoke(
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{"messages": [("user", "Search for LangChain v1.0 features")]},
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config=config
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)
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print(result["messages"][-1].content)
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